Identification and verification of a PANoptosis-related long noncoding ribonucleic acid signature for predicting the clinical outcomes and immune landscape in lung adenocarcinoma
PANoptosis is a type of programmed cell death (PCD) characterised by apoptosis, necroptosis and pyroptosis. Long non-coding ribonucleic acids (lncRNAs) are participating in the malignant behaviour of tumours regulated by PCD. Nevertheless, the function of PANoptosis-associated lncRNAs in lung adenoc...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024059000 |
| _version_ | 1797200776852930560 |
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| author | Lingling Bao Yingquan Ye Xuede Zhang Xin Xu Wenjuan Wang Bitao Jiang |
| author_facet | Lingling Bao Yingquan Ye Xuede Zhang Xin Xu Wenjuan Wang Bitao Jiang |
| author_sort | Lingling Bao |
| collection | DOAJ |
| description | PANoptosis is a type of programmed cell death (PCD) characterised by apoptosis, necroptosis and pyroptosis. Long non-coding ribonucleic acids (lncRNAs) are participating in the malignant behaviour of tumours regulated by PCD. Nevertheless, the function of PANoptosis-associated lncRNAs in lung adenocarcinoma remains to be investigated. In this work, a PANoptosis-related lncRNA signature (PRLSig) was developed based on the least absolute shrinkage and selection operator algorithm. The stability and fitness of PRLSig were confirmed by systematic evaluation of Kaplan–Meier, Cox analysis algorithm, receiver operating characteristic analysis, stratification analysis. In addition, ESTIMATE, single sample gene set enrichment analysis, immune checkpoints and the cancer immunome database confirmed the predictive value of the PRLSig in immune microenvironment and helped to identify populations for which immunotherapy is advantageous. The present research provides novel insights to facilitate risk stratification and optimise personalised treatment for LUAD. |
| first_indexed | 2024-04-24T07:37:02Z |
| format | Article |
| id | doaj.art-130dbca3dadd41f0886bc62e4381e7db |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-24T07:37:02Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-130dbca3dadd41f0886bc62e4381e7db2024-04-20T04:17:42ZengElsevierHeliyon2405-84402024-04-01108e29869Identification and verification of a PANoptosis-related long noncoding ribonucleic acid signature for predicting the clinical outcomes and immune landscape in lung adenocarcinomaLingling Bao0Yingquan Ye1Xuede Zhang2Xin Xu3Wenjuan Wang4Bitao Jiang5Department of Hematology and Oncology, Beilun District People's Hospital, Ningbo, ChinaThe First Affiliated Hospital of Anhui Medical University, Hefei, ChinaDepartment of Oncology, Weifang People's Hospital, Weifang, ChinaDepartment of Hematology and Oncology, Beilun District People's Hospital, Ningbo, ChinaDepartment of Hematology and Oncology, Beilun District People's Hospital, Ningbo, ChinaDepartment of Hematology and Oncology, Beilun District People's Hospital, Ningbo, China; Corresponding author.PANoptosis is a type of programmed cell death (PCD) characterised by apoptosis, necroptosis and pyroptosis. Long non-coding ribonucleic acids (lncRNAs) are participating in the malignant behaviour of tumours regulated by PCD. Nevertheless, the function of PANoptosis-associated lncRNAs in lung adenocarcinoma remains to be investigated. In this work, a PANoptosis-related lncRNA signature (PRLSig) was developed based on the least absolute shrinkage and selection operator algorithm. The stability and fitness of PRLSig were confirmed by systematic evaluation of Kaplan–Meier, Cox analysis algorithm, receiver operating characteristic analysis, stratification analysis. In addition, ESTIMATE, single sample gene set enrichment analysis, immune checkpoints and the cancer immunome database confirmed the predictive value of the PRLSig in immune microenvironment and helped to identify populations for which immunotherapy is advantageous. The present research provides novel insights to facilitate risk stratification and optimise personalised treatment for LUAD.http://www.sciencedirect.com/science/article/pii/S2405844024059000PANoptosisLung adenocarcinomaLong noncoding RNAPrognosisImmune microenvironment |
| spellingShingle | Lingling Bao Yingquan Ye Xuede Zhang Xin Xu Wenjuan Wang Bitao Jiang Identification and verification of a PANoptosis-related long noncoding ribonucleic acid signature for predicting the clinical outcomes and immune landscape in lung adenocarcinoma Heliyon PANoptosis Lung adenocarcinoma Long noncoding RNA Prognosis Immune microenvironment |
| title | Identification and verification of a PANoptosis-related long noncoding ribonucleic acid signature for predicting the clinical outcomes and immune landscape in lung adenocarcinoma |
| title_full | Identification and verification of a PANoptosis-related long noncoding ribonucleic acid signature for predicting the clinical outcomes and immune landscape in lung adenocarcinoma |
| title_fullStr | Identification and verification of a PANoptosis-related long noncoding ribonucleic acid signature for predicting the clinical outcomes and immune landscape in lung adenocarcinoma |
| title_full_unstemmed | Identification and verification of a PANoptosis-related long noncoding ribonucleic acid signature for predicting the clinical outcomes and immune landscape in lung adenocarcinoma |
| title_short | Identification and verification of a PANoptosis-related long noncoding ribonucleic acid signature for predicting the clinical outcomes and immune landscape in lung adenocarcinoma |
| title_sort | identification and verification of a panoptosis related long noncoding ribonucleic acid signature for predicting the clinical outcomes and immune landscape in lung adenocarcinoma |
| topic | PANoptosis Lung adenocarcinoma Long noncoding RNA Prognosis Immune microenvironment |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024059000 |
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